Poul Due Jensen Professorate in Big Data and Artificial Intelligence

Computer Science

1. User 100%
2. Query Processing 77%
3. Standards 57%
4. Semantic Web 36%
5. Open Data 35%
6. Provider Data 33%
7. Ontology 28%
8. Computing 28%
9. Use Case 27%
10. Data Source 26%
11. Query Rewriting 18%
12. Constraint Language 18%
13. Transformations 18%
14. Network Traffic 18%
15. Query Optimization 17%
16. Annotation 17%
17. Query Execution 16%
18. Algorithms 16%
19. Data Structure 14%
20. Widespread Adoption 14%
21. Research Direction 14%
22. Linked Data 14%
23. Graph Neural Network 13%
24. Online Analytical Processing 12%
25. Current-State 12%
26. Links 12%
27. Semantic Web Technology 12%
28. Data Warehouse 12%
29. Analytics 11%
30. Survey 11%
31. Archiving Solution 11%
32. Execution Plan 11%
33. Knowledge Base 11%
34. Statistics 10%
35. Data Transformation 10%
36. Information System 10%
37. Business Intelligence 10%
38. Big Data 9%
39. Deep Learning Model 9%
40. Full Advantage 9%
41. Archiving 9%
42. Query Engine 9%
43. Data Management System 9%
44. Incorrect Data 9%
45. Data Extraction 9%
46. Scientific Data 9%
47. Readable Information 9%
48. Life Cycle Sustainability 9%
49. Analytical Processing 9%
50. Distributed Databases 9%
51. Extended Version 9%
52. Startups 9%
53. Web Application 9%
54. Performance Metric 9%
55. Performance Problem 9%
56. Neo4j 9%
57. World Wide Web Search 9%
58. Information Access 9%
59. Evaluation System 9%
60. Computer Network 9%
61. Structured Query Language 9%
62. Bidirectional Encoder Representations From Transformers 9%
63. Erroneous Data 9%
64. Data Fragmentation 9%
65. Benchmarking 9%
66. Autoencoder 9%
67. Query Workload 8%
68. Modeling 8%
69. Providing Access 7%
70. Star Graphs 7%
71. Graph Analytics 7%
72. Semantic Annotation 6%
73. Execution Time 6%
74. Scientific Paper 6%
75. Sustainability Analysis 6%
76. Access Pattern 5%